Snowflake, the AI Data Cloud company, today announced several product innovations to its platform, empowering organisations to easily deploy agentic AI at scale and deliver trusted and accurate insights.

These enhancements include the general availability of Snowflake Intelligence, an enterprise intelligence agent that provides every user with the ability to answer complex questions in natural language and put insights at every employee’s fingertips. Together with advancements to Snowflake Openflow and Snowflake Horizon Catalog, organisations can drive more robust data insights by connecting all of their data — structured, unstructured, and semi-structured — from disparate sources and catalogs to power agentic AI. This all takes place within Snowflake’s secure, governed and interoperable environment – free of vendor lock-in.

Snowflake also announced a suite of enhanced AI-native and collaboration tools enabling developers to build, test, and deploy enterprise-ready AI apps faster and safer while reducing overhead and total cost of ownership – all within a single governed platform.

“For more than a decade, Snowflake has served as a cornerstone of global enterprises’ data strategies. Our next evolution is about bringing AI to this data, allowing every customer to unlock intelligence that is uniquely their own,” said Christian Kleinerman, EVP of Product at Snowflake. “Our latest enhancements to the Snowflake platform make this possible, democratising the power of AI so every employee can make smarter and faster decisions, fundamentally changing how our customers will innovate for years to come.”

Snowflake Intelligence: All Your Knowledge. One Trusted Enterprise Agent

Snowflake Intelligence is now generally available to Snowflake’s global customer base of more than 12,000 organisations. With a single question, Snowflake Intelligence can facilitate deep research and suggest solutions to previously difficult and time-consuming business problems — allowing users to move beyond the “what” to the critical “why.” Built for reliability and scale, it’s enterprise-ready with trust, governance, and security at the forefront, allowing employees to confidently access and analyse data through natural language while helping ensure that confidential information stays confidential. This, in turn, reduces the guesswork in decision-making, fostering a new culture of data across the enterprise.

In the past three months alone, more than 1,000 Snowflake customers – including Cisco, Toyota Motor Europe, TS Imagine and the USA Bobsled/Skeleton Team – have already leveraged Snowflake Intelligence to rapidly and easily deploy over 15,000 AI agents across their businesses¹.

“Snowflake Intelligence has transformed our development timeline, reducing agent deployment from months to weeks. This has fundamentally shifted our team’s focus from writing code, to prioritising what truly drives value: building rich business context and robust semantic models,” said Thierry Martin, Head of Data and AI at Toyota Motor Europe. “The result is a significant competitive advantage — we’re bringing secure, compliant data solutions to market faster, while eliminating data movement risks.”

Powered by industry-leading AI models from providers like Anthropic, Snowflake Intelligence is transforming complex queries into conversational insights, ultimately democratising data and AI access across the enterprise. New innovations from Snowflake’s AI Research Team make Snowflake Intelligence up to three times faster on text-to-SQL queries, delivering real-time answers with the same trusted accuracy. To increase the trustworthiness and accuracy of responses, the team also pioneered a novel evaluation method coined the Agent GPA (Goal, Plan, Action) framework that catches up to 95 per cent of errors when tested on standard datasets, achieving near-human levels of error detection.

Snowflake Delivers the Enterprise Lakehouse with Enhanced Open Data Access and Flexibility for Agentic AI

Snowflake has also announced advancements to Snowflake Horizon Catalog and Snowflake Openflow (now generally available) to enable enterprises to easily connect all of their data from disparate sources and catalogs to fuel more robust, accurate and trusted AI-driven insights. New innovations to Horizon Catalog provide context for AI and a unified security and governance framework that secures and connects data across every region, cloud, and format — all interoperable and without vendor lock-in. In turn, Openflow allows enterprise users to securely automate data integration and ingestion from virtually any source, making it easier to keep data centralised across the enterprise lakehouse.

Snowflake also unveiled the following advancements to make data more accessible for AI agents (such as Snowflake Intelligence) to drive value — all with consistent security and governance:

• By bringing open APIs from Apache Polaris™ (Incubating)² and Apache Iceberg™ REST Catalog³ directly into Horizon Catalog, Snowflake now provides customers with an enterprise lakehouse that centralises governance, security, and interoperable access management across their data in open table formats.
• With Interactive Tables and Warehouses (generally available soon) Snowflake is redefining how enterprises can build and power AI agents and apps by helping organisations turn data into immediate insights and near real-time experiences.
• With near real-time streaming analytics (private preview soon), Snowflake is enabling organisations to act on live data within seconds, using the familiar tools and secure platform they already trust. Customers can now combine live data with historical context to power mission-critical use cases like fraud detection, personalisation, recommendations, observability, and IoT monitoring.
• Snowflake is expanding integration options through its partnership with Oracle (now in private preview), enabling customers to harness near real-time change data capture built on Openflow to continuously stream transactional updates into the Snowflake AI Data Cloud.
• Following Snowflake’s recent acquisition of Crunchy Data, the company has introduced Snowflake Postgres (public preview soon), a fully-managed service that brings the world’s most popular database onto the Snowflake platform. Snowflake is also open sourcing pg_lake (now generally available), a set of Postgres extensions designed to help developers and data engineers integrate Postgres with a powerful lakehouse system.
• Snowflake is also enhancing data resilience with Business Continuity and Disaster Recovery (now in public preview) for managed Iceberg tables, further safeguarding enterprises’ critical data across the entire enterprise lakehouse.

Snowflake Unveils New Developer Tools to Supercharge Enterprise-Grade Agentic AI Development

Snowflake also unveiled a suite of new developer tools designed to help organisations rapidly build, test and deploy cutting-edge, production-ready AI apps faster and more securely.

• Developers can now streamline their data workflows with Cortex Code (in private preview), a refreshed AI assistant within the Snowflake UI that lets users interact with their entire Snowflake environment using natural language. Cortex Code helps users easily understand their Snowflake usage, optimise complex queries, and fine-tune their results to maximise cost savings.
• With enhancements to Snowflake Cortex AISQL (now generally available), developers can build scalable AI pipelines within Snowflake Dynamic Tables (now generally available) to create AI-inference pipelines through a simple declarative SQL query. Leveraging AI Redact (in public preview soon) within Cortex AISQL, users can scale more confidently with the ability to detect and redact sensitive data from unstructured data, allowing them to ready their multimodal dataset for AI while maintaining security and privacy.
• Snowflake’s centralised development environment Workspaces (now generally available) eliminates siloed data work and boosts collaboration, providing a unified editor for creating, organising, and managing code across multiple file types. Workspaces is enhanced with direct Git Integration (now generally available), providing developers a seamless way to review version control, and VS Code Integration (now generally available), allowing users to work from their preferred Integrated Development Environment (IDE) and share code with the rest of their team.
• With dbt Projects on Snowflake (now generally available), enterprises can build, test, deploy, and monitor their dbt projects directly within their Snowflake environment — empowering engineers to focus on delivering insights rather than maintaining various tools and infrastructure. Snowflake is also helping organisations further accelerate developer productivity by running existing Apache Spark™⁴ code on Snowflake’s secure engine with Snowpark Connect for Apache Spark (now generally available).

Learn More

• Double click into how Snowflake Intelligence is democratising access to data with agentic AI in this blog post.
• Check out all the innovations and announcements coming out of BUILD 2025 on Snowflake’s Newsroom.
• Stay on top of the latest news and announcements from Snowflake on LinkedIn and X, and follow along at #SnowflakeBUILD.

¹ As of October 24, 2025.

² Polaris Catalog, a vendor-neutral, open catalog implementation for Apache Iceberg — the open standard of choice for implementing data lakehouses, data lakes, and other modern architectures.
³ Iceberg defines a REST-based Catalog API for managing table metadata and performing catalog operations. The REST catalog protocol is a common API (using the OpenAPI spec) for interacting with any Iceberg catalog.

⁴ “Apache Spark” is a registered trademark or trademark of the Apache Software Foundation in the United States and/or other countries.

Forward looking statements

This press release contains express and implied forward-looking statements, including statements regarding (i) Snowflake’s business strategy, (ii) Snowflake’s products, services, and technology offerings, including those that are under development or not generally available, (iii) market growth, trends, and competitive considerations, and (iv) the integration, interoperability, and availability of Snowflake’s products with and on third-party platforms. These forward-looking statements are subject to a number of risks, uncertainties and assumptions, including those described under the heading “Risk Factors” and elsewhere in the Quarterly Reports on Form 10-Q and the Annual Reports on Form 10-K that Snowflake files with the Securities and Exchange Commission. In light of these risks, uncertainties, and assumptions, actual results could differ materially and adversely from those anticipated or implied in the forward-looking statements.  As a result, you should not rely on any forward-looking statements as predictions of future events.

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About Snowflake

Snowflake is the platform for the AI era, making it easy for enterprises to innovate faster and get more value from data. More than 12,000 customers around the globe, including hundreds of the world’s largest companies, use Snowflake’s AI Data Cloud to build, use and share data, applications and AI. With Snowflake, data and AI are transformative for everyone. Learn more at snowflake.com (NYSE: SNOW).